Reliability and efficiency in industrial development required the use of Artificial Intelligence, Machine Learning, Internet of Things and Industry 4.0
Xmaint does not require extensive modifications of the existing asset and can predict the future performance of the equipment, reducing emergency interruptions, increasing reliability and transforming contingencies into financial profit.
SCADA & EDGE COMPUTING
The Internet of Things (IoT) is the pinnacle of advances in hardware and connectivity protocols, data networks, and complex computer systems. IoT and Edge Computing combined with Big Data applications begin where the work on SCADA, DCS and historians ends.
IPM, after an extensive research and development process, has developed a robust solution that directly integrates both IoT and SCADA directly absorbing data from the controller and sensors of the equipment and integrating the main control systems (CMMS, SAP, BMS, SCADA, etc.).
RENEWABLES
Renewable sources are the cornerstones of the energy transition; a key topic for a sustainable future. However, as non-dispatchable energy sources, renewable plants (in particular photovoltaic and wind ones) present users with issues like intermitting supply when the reliability is not fully guaranteed; such issues require a deep adjustment of the transmission network to balance the grid's offer-demand.
In real-time, Xmaint helps calibrating the electrical system, to then identify and minimize the required investment for a potential buffer infrastructure.
Xmaint takes advantage of analytical capabilities based on AI, constantly monitores the upstream power production and the downstream transmission network, preventing failure and gaps also related to fluctuating weather conditions.(creating an ideally smart grid).
Through IoT and advanced analytic applications, Xmaint acquires live data from the existing facility, continuously seeks for inefficiencies within the integrated system, unlocking hidden performances and allowing asset failure forecasting so that operators and managers can make informed decisions.
OPERATION AND MAINTENANCE
Working directly with the decision-makers to understand value creation and how we practically achieve it, IPM develops specific technologies to acquire data from the asset to be operated and subsequently enhanced with CAPEX.
Our developed technologies can monitor multiple areas inside the controlled plants.
Such an O&M ecosystem essentially includes three elements: the physical infrastructure (sensors and monitoring instruments), the network (remote & stand-alone), the software utilized for the gathering and handling of the measured data (Xmaint).
The predictive analysis can reduce the facilities' emergency events and eases the integrated systems operations by reducing the OPEX and helping planning future CAPEX expenditures.
SCADA & EDGE COMPUTING
The Internet of Things (IoT) is the pinnacle of advances in hardware and connectivity protocols, data networks, and complex computer systems. IoT and Edge Computing combined with BigData applications begin where the work on SCADA, DCS and historians ends.
IPM, after an extensive research and development process, has developed a robust solution that directly integrates both IoT and SCADA.
XMAINT, by directly absorbing data from the controller and sensors of the equipment and integrating the main control systems (CMMS, SAP, BMS, SCADA, etc.), does not require extensive modifications of the existing asset and can predict the future performance of the equipment, reducing emergency interruptions, increasing reliability and transforming contingencies into financial profit.
RENEWABLES
Renewable sources are the cornerstones of the energy transition; a key topic for a sustainable future. However, as the non-dispatchable energy sources the renewable plants (in particular photovoltaic and wind ones) present users with issues like intermitting supply when the reliability is not fully guaranteed; such issues require a deep adjustment of the transmission network to balance the grid's offer-demand.
IPM developed XMAINT that takes advantage of analytical capabilities based on AI of the upstream power production, and the constant monitoring of the downstream transmission network by preventing failure and gaps also related to fluctuating weather conditions.(creating an ideally smart grid). In real-time, helps to calibrate the electrical system, for then identifying and minimizing the required investment for a potential buffer infrastructure.
OPERATION AND MAINTENANCE
